VMware VMware Cloud PKS, 28 Nov 2018

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From YouTube: VMware Cloud PKS Log Integration with Fluentd and Elasticsearch Demo

Description

In this demo, we will show you how easy it is to integrate a Kubernetes cluster deployed using VMware Cloud PKS with out of box deployment of Fluentd and Elasticsearch.

To learn more, visit https://cloud.vmware.com/vmware-cloud-pks

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Welcome to the VMware cloud pkas demo in this video I will show you how easy it is to integrate a kubernetes cluster deployed using VMware cloud pieas with other box deployment of flow indie and elastic search before we get started with the actual demo. Let's first review fuel concepts, a kubernetes cluster consists of multiple nodes and each node. You have in-app ads running on them representing different micro services and the fluent Dee leverages.

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A special type of Cobra, ladies control manager, called demon set and a demon set is basically there to ensure a copy of the flow in d-pod is deployed on each worker node in the cluster and as nodes are added to the cluster. A flowing deep pod are added to them automatically by the demon set.

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If a note is deleted from the cluster on the damage that will remove the Florentine part as well now fluently deployed on each part is responsible for forwarding of all logs from all pods rounding on the the worker node to what we called a fluent Dee aggregator and the flowing. The aggregator is typically Cola with located. On the same note as the elasticsearch and basically the way it works, is the fluent Dee running on each node forward its logs to the fluency aggregator and the define the fluent di reader will write the logs to elasticsearch.

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And finally, you have what is called a cabana dashboard you with the cabana dashboard. You can view real-time data in elasticsearch and also you have the ability to build custom queries specific to your application.

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Now, let's get started with our demo and this demo zooms that you already have a VMware cloud, PKS cluster already deployed and and then we're gonna use, helm helm is a super simple way of deploying applications. Tax and the first step with helm.

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Is you need to deploy a tiller and that the way you do that is using a helmet and once the tiller is deployed, you would make sure that the repo is updated and once the repo updated you basically just install fluency first and then you install elasticsearch and the finally install cabana, and once we have all three components deployed I'm, going to show you how you can access your cup on a dashboard directly from your local laptop and and then also how you can say that some basic filters to manage the micro services you have deployed in your cloud peak ass deployment.

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Now, let's get started so I really have the tiller, deploys I'm gonna skip the first step and I'm just gonna run a home repo update and now I'm going to install flowing D and it's flowing these installed. Now I'm gonna install elasticsearch and I'm going to install component now we're gonna enable 4:40.

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So we can access the dashboard for my local desktop. Looking just do some basic filtering of pic micro, ready host and I can look at my specific to my container app. My name is mrs..

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So that's all for the demo, thanks for watching the video.